Wavelet Enhanced Analytical and Evolutionary Approaches to Time Series Forecasting

  • Bartosz Kozlowski
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4431)


This paper provides two methodologies for forecasting time series. One of them is based on the Wavelet Analysis and the other one on the Genetic Programming. Two examples from finance domain are used to illustrate how given methodologies perform in real-life applications. Additionally application to specific classes of time series, seasonal, is discussed.


Wavelet Analysis Original Time Series Time Series Forecast Forecast Algorithm Seasonal Time Series 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Bartosz Kozlowski
    • 1
  1. 1.Institute of Control and Computation Engineering, Warsaw University of Technology, Nowowiejska Str. 15/19, 00-665 WarsawPoland

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